A paper list of state-of-the-art weakly supervised object detection (WSOD) and weakly supervised object localization (WSOL).
WSOD
- [DETR-GA] DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection. [CVPR 2023] [
pdf] - [WS-DETR] Scaling Novel Object Detection with Weakly Supervised Detection Transformers. [WACV 2023] [
pdf] [official code-torch] - [WSOD-CBL] Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection. [ICCV 2023] [
pdf] [official code-torch]
WSOL
- [CATR] Category-aware Allocation Transformer for Weakly Supervised Object Localization. [ICCV 2023] [
pdf] [official code-torch] - [GenPromp] Generative Prompt Model for Weakly Supervised Object Localization. [ICCV 2023] [
pdf] [official code-torch] - [SAT] Spatial-Aware Token for Weakly Supervised Object Localizatio. [ICCV 2023] [
pdf] [official code-torch]
WSOD
- [SoS] Salvage of Supervision in Weakly Supervised Detection. [CVPR 2022] [
pdf] [official code-torch] - [H2FA_R-CNN] H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection. [CVPR 2022] [
pdf] [official code-torch] - [OD-WSCL] Object Discovery via Contrastive Learning for Weakly Supervised Object Detection. [ECCV 2022] [
pdf] [official code-torch] - [Mi_max] Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. [CVIU 2022] [
pdf] [official code-tf] - [BUAA] Selecting High-Quality Proposals for Weakly Supervised Object Detection With Bottom-Up Aggregated Attention and Phase-Aware Loss. [TIP 2022] [
pdf] [official code-torch] - [FI-WSOD] FI-WSOD: Foreground Information Guided Weakly Supervised Object Detection. [TMM 2022] [
pdf] - [CPNet] Weakly Supervised Object Detection with Class Prototypical Network. [TMM 2022] [
pdf] - [H2FA R-CNN] H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection. [CVPR 2022] [
pdf] [official code-torch]
WSOL
- [DA-WSOL] Weakly Supervised Object Localization as Domain Adaption. [CVPR 2022] [
pdf] [official code-torch] - [ViTOL] ViTOL: Vision Transformer for Weakly Supervised Object Localization. [CVPR 2022] [
pdf] [official code-torch] - Background Activation Suppression for Weakly Supervised Object Localization. [CVPR 2022] [
pdf] [official code-torch] - [CREAM] CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping. [CVPR 2022] [
pdf] [official code-torch] - Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. [CVPR 2022] [
pdf] - [C2AM] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation. [CVPR 2022] [
pdf] [official code-torch]
WSOD
- Instance Mining with Class Feature Banks for Weakly Supervised Object Detection. [AAAI 2021] [
pdf]] - [GradingNet] GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates. [AAAI 2021] [
pdf] - [LBBA-boosted WSOD] Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. [ICCV 2021] [
pdf] [official code-torch] - [PDSL] Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. [ICCV 2021] [
pdf] [official code-torch] - [AIR] Multiple Instance Detection Networks With Adaptive Instance Refinement. [TMM 2021] [
pdf] - [P-MIDN] Pyramidal multiple instance detection network with mask guided self-correction for weakly supervised object detection. [TIP 2021] [
pdf]
WSOL
- [SPOL] Shallow Feature Matters for Weakly Supervised Object Localization. [CVPR 2021] [
pdf] [official code-torch] - [SPA] Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization. [CVPR 2021] [
pdf] [official code-torch] - [SLT-Net] Strengthen Learning Tolerance for Weakly Supervised Object Localization. [CVPR 2021] [
pdf] [official code-torch] - [FAM] Foreground Activation Maps for Weakly Supervised Object Localization. [ICCV 2021] [
pdf] - [ORNet] Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization. [ICCV 2021] [
pdf] [official code-torch]
WSOD
- High-Quality Proposals for Weakly Supervised Object Detection. [TIP 2020] [
pdf] - Progressive Representation Adaptation for Weakly Supervised Object Localization. [PAMI 2020] [
pdf] - [MIST] Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection. [CVPR 2020] [
pdf] [official code] - [SLV] SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection. [CVPR 2020] [
pdf] - [OIM] Object Instance Mining for Weakly Supervised Object Detection. [AAAI 2020] [
pdf] [official code-caffe] - [BOICR] Distilling Knowledge from Refinement in Multiple Instance Detection Networks. [Deep Vision 2020 CVPR workshop] [
pdf] [official code-torch] - [WSOD Transfer] Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer. [ECCV 2020] [
pdf] [official code-torch] - Enabling Deep Residual Networks for Weakly Supervised Object Detection. [ECCV 2020] [
pdf] [official code-caffe] [official code-torch] - [CASD] Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection. [NeurIPS 2020] [
pdf] [official code-torch] - [UWSOD] UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection. [NeurIPS 2020] [
pdf] [official code-torch] - Weakly Supervised Object Detection Using Proposal- and Semantic-Level Relationships. [TPAMI 2020] [
pdf]
WSOL
- [EIL] Erasing Integrated Learning : A Simple yet Effective Approach for Weakly Supervised Object Localization. [ CVPR 2020] [
pdf] - [PSOL] Rethinking the Route Towards Weakly Supervised Object Localization. [CVPR 2020] [
pdf] - [GC-Net] Geometry Constrained Weakly Supervised Object Localization. [ECCV 2020] [
pdf] [official code-torch] - [I2C] Inter-Image Communication for Weakly Supervised Localization. [ECCV 2020] [
pdf] [official code-torch] - [wsolevaluation] Evaluating Weakly Supervised Object Localization Methods Right. [CVPR 2020] [
pdf] [official code-torch]
WSOD
- [ADWSOD] Activity Driven Weakly Supervised Object Detection. [CVPR 2019] [
pdf] - Utilizing the Instability in Weakly Supervised Object Detection. [CVPR 2019] [
pdf] - [WS-JDS] Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation. [CVPR 2019] [
pdf] [official code-caffe] - [W-RPN] You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection. [CVPR 2019] [
pdf] [official code] - Dissimilarity Coefficient based Weakly Supervised Object Detection. [CVPR 2019] [
pdf] - [C-MIL] C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. [CVPR 2019] [
pdf] [official code-torch] - [WSOD2] WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection. [ICCV 2019] [
pdf] - Object-Aware Instance Labeling for Weakly Supervised Object Detection. [ICCV 2019] [
pdf] - [C-MIDN] C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection. [ICCV 2019] [
pdf] - Towards Precise End-to-End Weakly Supervised Object Detection Network. [ICCV 2019] [
pdf] - [SDCN] Weakly Supervised Object Detection With Segmentation Collaboration. [ICCV 2019] [
pdf] - [MELM] Min-entropy latent model for weakly supervised object detection. [TPAMI 2019] [
pdf] [official code-torch] - Self Paced Deep Learning for Weakly Supervised Object Detection. [PAML 2019] [
pdf] [official code-caffe] - [CSC] Category-Aware Spatial Constraint for Weakly Supervised Detection. [ TIP 2019] [
pdf] [official code-caffe] - [PSNet] WSOD with PSNet and Box Regression. [arXiv 2019] [
pdf] - [C-SPCL] Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework. [IJCV 2019] [
pdf]
WSOL
- [ADL] Attention-based dropout layer for weakly supervised object localization. [CVPR 2019] [
pdf] [official code-tf] - [DANet] DANet: Divergent Activation for Weakly Supervised Object Localization. [ICCV 2019] [
pdf] [official code-torch]
WSOD
- [PCL] PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. [TPAMI 2018] [
pdf] [official code-caffe] [official code-torch] - Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. [CVPR 2018] [
pdf] - Zigzag Learning for Weakly Supervised Object Detection. [CVPR 2018] [
pdf] - [W2F] W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection. [CVPR 2018] [
pdf] - Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation. [CVPR 2018] [
pdf] [official code] - Weakly-supervised object detection via mining pseudo ground truth bounding-boxes. [PR 2018] [
pdf] - Weakly Supervised Region Proposal Network and Object Detection. [ECCV 2018] [
pdf] - [TS2C] TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. [ECCV 2018] [
pdf] - [MELM] Min-Entropy Latent Model for Weakly Supervised Object Detection. [CVPR 2018] [
pdf] [official code-torch] - [WSCDN] Collaborative Learning for Weakly Supervised Object Detection. [IJCAI 2018] [
pdf] - [WSRPN] Weakly Supervised Region Proposal Network and Object Detection. [ECCV 2018] [
pdf]
WSOL
- [ACoL] Adversarial Complementary Learning for Weakly Supervised Object Localization. [CVPR 2018] [
pdf] - [SPG] Self-produced Guidance for Weakly-supervised Object Localization. [ECCV 2018] [
pdf] [official code-torch] - Generative Adversarial Learning Towards Fast Weakly Supervised Detection. [CVPR 2018] [
pdf] - [C-WSL] C-WSL: Count-guided Weakly Supervised Localization. [ECCV 2018] [
pdf]
WSOD
- [WCCN] Weakly Supervised Cascaded Convolutional Networks. [CVPR 2017] [
pdf] - [OICR] Multiple Instance Detection Network with Online Instance Classifier Refinement. [CVPR 2017] [
pdf] [official code-caffe] [unofficial code-torch] [unofficial code-torch] - Deep Self-Taught Learning for Weakly Supervised Object Localization. [CVPR 2017] [
pdf] - [GPMIL] Variational Bayesian Multiple Instance Learning With Gaussian Processes. [CVPR 2017] [
pdf] [official code] - A Dual-Network Progressive Approach to Weakly Supervised Object Detection. [MM 2017] [
pdf] - [MICL] Multiple Instance Curriculum Learning for Weakly Supervised Object Detection. [BMVC 2017] [
pdf] - [SPN] Soft Proposal Networks for Weakly Supervised Object Localization. [ICCV 2017] [
pdf] [official code-torch]
WSOL
- Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning. [TPAMI 2017] [
pdf] - [Grad-CAM] Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization. [CVPR 2017] [
pdf] [official code] - [WILDCAT] WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. [CVPR 2017] [
pdf] - [TP-WSL] Two-Phase Learning for Weakly Supervised Object Localization. [ICCV 2017] [
pdf]
WSOD
- [WSDDN] Weakly Supervised Deep Detection Networks. [CVPR 2016] [
pdf] [official code-matlab] [unofficial code-torch] [unofficial code-torch] - [ProNet] ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks. [CVPR 2016] [
pdf] - Weakly Supervised Object Localization with Progressive Domain Adaptation. [CVPR 2016] [
pdf] [official code-caffe] - [WELDON] WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. [CVPR 2016] [
pdf] [official code-torch] - [ContextLocNet] ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. [ECCV 2016] [
pdf] [official code-caffe] - Weakly Supervised Localization using Deep Feature Maps. [ECCV 2016] [
pdf] - Weakly Supervised Object Localization Using Size Estimates. [ECCV 2016] [
pdf] - Bridging saliency detection to weakly supervised object detection based on self-paced curriculum learning. [IJCAI 2016] [
pdf]
WSOL
- [CAM] Learning Deep Features for Discriminative Localization. [CVPR 2016] [
pdf] [unofficial code-tf]
WSOD
- Weakly Supervised Localization and Learning with Generic Knowledge. [IJCV 2012] [
pdf] - Multi-fold MIL Training for Weakly Supervised Object Localization. [CVPR 2014] [
pdf] - On learning to localize objects with minimal supervision. [ICML 2014] [
pdf] - Is object localization for free? - Weakly-supervised learning with convolutional neural networks. [CVPR 2015] [
pdf] - Weakly supervised object detection with convex clustering. [CVPR 2015] [
pdf]
WSOL
- Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation. [ICCV 2013] [
pdf] - [ICL] Weakly Supervised Object Localization with Latent Category Learning. [ECCV 2014] [
pdf]
- Deep Learning Object Detection
- Weakly Supervised Semantic Segmentation
- Weakly-/Semi-Supervised Learning in Computer Vision
- Weakly-Supervised-Object-Localization
- WSOD Paper List
If you have any suggestions about this list, feel free to mail me :)
- Email: [email protected]
- Pull Request: https://github.com/CatOneTwo/Weakly-Supervised-Object-Detection/pulls